class_docstr: Transforms tuples of text into tuples of vector sequences.
code: def encode_output(self, text: str) -> List[int]:
      return self._tokenizer_decoder.encode(text)
  
file_path: headliner/headliner/preprocessing/bert_vectorizer.py
imports: from typing import Tuple, List
  from transformers import BertTokenizer
  from headliner.preprocessing.tokenizer import Tokenizer
label_desc: Use image node_id 4 for calling the BertVectorizer obj's underlying member method code with example usage: obj.encode_output(text) and returns: self